Dimitrios Sakkos

[Dimitrios Sakkos @dksakkos]

Arxiv link of our paper Illumination-Based Data Augmentation for Robust Background Subtraction https://t.co/GHF06KrnyK

[Dimitrios Sakkos @dksakkos]

We have open sourced the code of our paper "Illumination-Based Data Augmentation for Robust Background Subtraction" at https://t.co/FhX3hanNM8

[Dimitrios Sakkos @dksakkos]

Best paper award! #SKIMA2019

[Edmond Ho @EdmondSLHo]

Spent 3 wonderful days at #SKIMA2019 (Ukulhas, Maldives) and we got the best paper award! Credit goes to my PhD student Dimitrios Sakkos and co-author Hubert Shum!

[Dimitrios Sakkos @dksakkos]

Could multi-scale inputs be replaced with dilated convolutions or spatial pyramid pooling? #BMVC2018

[Dimitrios Sakkos @dksakkos]

Why concatenate the attention predictor output and not multiply with the previous features? #BMVC2018

[Dimitrios Sakkos @dksakkos]

@karpathy Any chance there's a caffemodel (or even a prototxt file) of the net used in your 2014CVPR paper? https://t.co/MexnVcAzrB

[Dimitrios Sakkos @dksakkos]

Golden material from @karpathy on Convolutional networks
https://t.co/tFkzHjHgZ5

[Dimitrios Sakkos @dksakkos]

Absolutely great material on neural networks and CNNs
https://t.co/vYyvXnJniv

[Dimitrios Sakkos @dksakkos]

Caffe or Theano? NVIDIA can help you decide!
Caffe - https://t.co/eqszzGIPf7
Theano - https://t.co/To6KFIBWLz

[Dimitrios Sakkos @dksakkos]

Excellent Deep Learning example using NVIDIA DIGITS 3 on EC2 https://t.co/L134BzZFP2

[Dimitrios Sakkos @dksakkos]

When computers start painting https://t.co/1Y0A2X7LyF

[Dimitrios Sakkos @dksakkos]

A very interesting article explaining how neural networks work https://t.co/Q4JmQNrtCv